Understanding relationships: Classifying verb phrase semantics

被引:0
|
作者
Storey, VC
Purao, S
机构
[1] Georgia State Univ, J Mack Robinson Coll Business, Atlanta, GA 30302 USA
[2] Penn State Univ, Sch Informat Sci & Technol, University Pk, PA 16801 USA
来源
CONCEPTUAL MODELING - ER 2004, PROCEEDINGS | 2004年 / 3288卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Relationships are an essential part of the design of a database because they capture associations between things. Comparing and integrating relationships from heterogeneous databases is a difficult problem, partly because of the nature of the relationship verb phrases. This research proposes a multi-layered approach to classifying the semantics of relationship verb phrases to assist in the comparison of relationships. The first layer captures fundamental, primitive relationships based upon well-known work in data abstractions and conceptual modeling. The second layer captures the life cycle of natural progressions in the business world. The third layer reflects the context-dependent nature of relationships. Use of the classification scheme is illustrated by comparing relationships from various application domains with different purposes.
引用
收藏
页码:336 / 347
页数:12
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